Overview

Dataset statistics

Number of variables4
Number of observations61
Missing cells25
Missing cells (%)10.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory34.2 B

Variable types

Text3
DateTime1

Dataset

Description부산광역시_기장군_세탁업현황_20220316
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3072189

Alerts

소재지전화 has 25 (41.0%) missing valuesMissing
영업소 주소(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:01:50.158474
Analysis finished2023-12-10 16:01:51.041272
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct59
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T01:01:51.351403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length5.8196721
Min length2

Characters and Unicode

Total characters355
Distinct characters134
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)93.4%

Sample

1st row제일세탁소
2nd row미견세탁소
3rd row원색세탁소
4th row로얄컴퓨터세탁소
5th row삼성세탁소
ValueCountFrequency (%)
지우개 2
 
3.1%
빨래지구대 2
 
3.1%
sh산업 1
 
1.5%
수자인호텔세탁 1
 
1.5%
제일세탁소 1
 
1.5%
블루워터클리닉 1
 
1.5%
우창세탁 1
 
1.5%
원크린 1
 
1.5%
큐브 1
 
1.5%
월풀산업 1
 
1.5%
Other values (53) 53
81.5%
2023-12-11T01:01:52.021140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
7.9%
27
 
7.6%
14
 
3.9%
12
 
3.4%
9
 
2.5%
9
 
2.5%
9
 
2.5%
8
 
2.3%
8
 
2.3%
7
 
2.0%
Other values (124) 224
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 340
95.8%
Uppercase Letter 6
 
1.7%
Space Separator 4
 
1.1%
Decimal Number 2
 
0.6%
Other Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
8.2%
27
 
7.9%
14
 
4.1%
12
 
3.5%
9
 
2.6%
9
 
2.6%
9
 
2.6%
8
 
2.4%
8
 
2.4%
7
 
2.1%
Other values (113) 209
61.5%
Uppercase Letter
ValueCountFrequency (%)
H 2
33.3%
S 1
16.7%
C 1
16.7%
L 1
16.7%
B 1
16.7%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 340
95.8%
Common 9
 
2.5%
Latin 6
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
 
8.2%
27
 
7.9%
14
 
4.1%
12
 
3.5%
9
 
2.6%
9
 
2.6%
9
 
2.6%
8
 
2.4%
8
 
2.4%
7
 
2.1%
Other values (113) 209
61.5%
Common
ValueCountFrequency (%)
4
44.4%
& 1
 
11.1%
( 1
 
11.1%
) 1
 
11.1%
3 1
 
11.1%
2 1
 
11.1%
Latin
ValueCountFrequency (%)
H 2
33.3%
S 1
16.7%
C 1
16.7%
L 1
16.7%
B 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 340
95.8%
ASCII 15
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
28
 
8.2%
27
 
7.9%
14
 
4.1%
12
 
3.5%
9
 
2.6%
9
 
2.6%
9
 
2.6%
8
 
2.4%
8
 
2.4%
7
 
2.1%
Other values (113) 209
61.5%
ASCII
ValueCountFrequency (%)
4
26.7%
H 2
13.3%
& 1
 
6.7%
S 1
 
6.7%
C 1
 
6.7%
L 1
 
6.7%
B 1
 
6.7%
( 1
 
6.7%
) 1
 
6.7%
3 1
 
6.7%
Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T01:01:52.497442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length28.721311
Min length19

Characters and Unicode

Total characters1752
Distinct characters104
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)100.0%

Sample

1st row부산광역시 기장군 기장읍 차성남로89번길 18
2nd row부산광역시 기장군 장안읍 길천2길 39-1, 1층
3rd row부산광역시 기장군 장안읍 해맞이로 375, 1층
4th row부산광역시 기장군 기장읍 차성로326번길 11
5th row부산광역시 기장군 일광면 일광로 80
ValueCountFrequency (%)
부산광역시 61
 
16.5%
기장군 61
 
16.5%
기장읍 39
 
10.6%
1층 21
 
5.7%
정관읍 13
 
3.5%
일광면 4
 
1.1%
정관로 4
 
1.1%
장안읍 4
 
1.1%
2층 4
 
1.1%
청강로 4
 
1.1%
Other values (126) 154
41.7%
2023-12-11T01:01:53.192968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
309
 
17.6%
108
 
6.2%
103
 
5.9%
1 79
 
4.5%
66
 
3.8%
64
 
3.7%
63
 
3.6%
63
 
3.6%
61
 
3.5%
61
 
3.5%
Other values (94) 775
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1068
61.0%
Space Separator 309
 
17.6%
Decimal Number 296
 
16.9%
Other Punctuation 34
 
1.9%
Open Punctuation 14
 
0.8%
Close Punctuation 14
 
0.8%
Dash Punctuation 12
 
0.7%
Uppercase Letter 4
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
108
 
10.1%
103
 
9.6%
66
 
6.2%
64
 
6.0%
63
 
5.9%
63
 
5.9%
61
 
5.7%
61
 
5.7%
59
 
5.5%
56
 
5.2%
Other values (76) 364
34.1%
Decimal Number
ValueCountFrequency (%)
1 79
26.7%
2 43
14.5%
3 37
12.5%
4 26
 
8.8%
5 24
 
8.1%
6 21
 
7.1%
0 17
 
5.7%
7 17
 
5.7%
8 16
 
5.4%
9 16
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 33
97.1%
@ 1
 
2.9%
Space Separator
ValueCountFrequency (%)
309
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1068
61.0%
Common 680
38.8%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
108
 
10.1%
103
 
9.6%
66
 
6.2%
64
 
6.0%
63
 
5.9%
63
 
5.9%
61
 
5.7%
61
 
5.7%
59
 
5.5%
56
 
5.2%
Other values (76) 364
34.1%
Common
ValueCountFrequency (%)
309
45.4%
1 79
 
11.6%
2 43
 
6.3%
3 37
 
5.4%
, 33
 
4.9%
4 26
 
3.8%
5 24
 
3.5%
6 21
 
3.1%
0 17
 
2.5%
7 17
 
2.5%
Other values (7) 74
 
10.9%
Latin
ValueCountFrequency (%)
B 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1068
61.0%
ASCII 684
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
309
45.2%
1 79
 
11.5%
2 43
 
6.3%
3 37
 
5.4%
, 33
 
4.8%
4 26
 
3.8%
5 24
 
3.5%
6 21
 
3.1%
0 17
 
2.5%
7 17
 
2.5%
Other values (8) 78
 
11.4%
Hangul
ValueCountFrequency (%)
108
 
10.1%
103
 
9.6%
66
 
6.2%
64
 
6.0%
63
 
5.9%
63
 
5.9%
61
 
5.7%
61
 
5.7%
59
 
5.5%
56
 
5.2%
Other values (76) 364
34.1%

소재지전화
Text

MISSING 

Distinct36
Distinct (%)100.0%
Missing25
Missing (%)41.0%
Memory size620.0 B
2023-12-11T01:01:53.495370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters504
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row 051- 721-6505
2nd row 051- 727-1724
3rd row 051- 727-1317
4th row 051- 721-4782
5th row051 -721 -4233
ValueCountFrequency (%)
051 35
37.2%
728 7
 
7.4%
723 5
 
5.3%
727 3
 
3.2%
721 3
 
3.2%
722 1
 
1.1%
2520 1
 
1.1%
781 1
 
1.1%
6939 1
 
1.1%
8284 1
 
1.1%
Other values (36) 36
38.3%
2023-12-11T01:01:53.935834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
14.3%
- 72
14.3%
1 66
13.1%
7 60
11.9%
5 55
10.9%
0 52
10.3%
2 49
9.7%
8 25
 
5.0%
3 17
 
3.4%
4 15
 
3.0%
Other values (2) 21
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 360
71.4%
Space Separator 72
 
14.3%
Dash Punctuation 72
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 66
18.3%
7 60
16.7%
5 55
15.3%
0 52
14.4%
2 49
13.6%
8 25
 
6.9%
3 17
 
4.7%
4 15
 
4.2%
6 11
 
3.1%
9 10
 
2.8%
Space Separator
ValueCountFrequency (%)
72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 504
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
72
14.3%
- 72
14.3%
1 66
13.1%
7 60
11.9%
5 55
10.9%
0 52
10.3%
2 49
9.7%
8 25
 
5.0%
3 17
 
3.4%
4 15
 
3.0%
Other values (2) 21
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 504
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
14.3%
- 72
14.3%
1 66
13.1%
7 60
11.9%
5 55
10.9%
0 52
10.3%
2 49
9.7%
8 25
 
5.0%
3 17
 
3.4%
4 15
 
3.0%
Other values (2) 21
 
4.2%
Distinct59
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum1987-05-13 00:00:00
Maximum2022-03-08 00:00:00
2023-12-11T01:01:54.163676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:01:54.390507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Correlations

2023-12-11T01:01:54.538597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명영업소 주소(도로명)소재지전화영업자시작일
업소명1.0001.0001.0000.992
영업소 주소(도로명)1.0001.0001.0001.000
소재지전화1.0001.0001.0001.000
영업자시작일0.9921.0001.0001.000

Missing values

2023-12-11T01:01:50.860364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:01:50.987810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

업소명영업소 주소(도로명)소재지전화영업자시작일
0제일세탁소부산광역시 기장군 기장읍 차성남로89번길 18051- 721-65051987-05-13
1미견세탁소부산광역시 기장군 장안읍 길천2길 39-1, 1층051- 727-17241987-05-13
2원색세탁소부산광역시 기장군 장안읍 해맞이로 375, 1층051- 727-13171988-01-15
3로얄컴퓨터세탁소부산광역시 기장군 기장읍 차성로326번길 11051- 721-47821992-08-04
4삼성세탁소부산광역시 기장군 일광면 일광로 80<NA>1993-01-30
5청강세탁소부산광역시 기장군 기장읍 기장대로 455, 1층051 -721 -42332005-01-03
6백광세탁소부산광역시 기장군 기장읍 차성로344번길 38051 -721 -68072003-12-22
7한신그린상가세탁소부산광역시 기장군 기장읍 차성로344번길 13, 2층051- 722-55412003-08-08
8문화사부산광역시 기장군 기장읍 차성로417번길 21051- 721-85811996-05-18
9현대토탈세탁소부산광역시 기장군 기장읍 기장대로 563051- 722-58101996-12-13
업소명영업소 주소(도로명)소재지전화영업자시작일
51비에이치엘앤시(BHL&C)부산광역시 기장군 기장읍 대청로35번길 5, 1층051 -747 -11162018-11-29
52우리동네 신발이야기부산광역시 기장군 기장읍 대청로 24, 1층 (베로나아파트)<NA>2019-04-12
53지우개부산광역시 기장군 정관읍 모전1길 6-27, 1층051 -728 -75332019-08-13
54미진부산광역시 기장군 장안읍 좌천4길 9-1, 부산식육점 1층<NA>2020-03-25
55명품지우개세탁부산광역시 기장군 정관읍 정관5로 12, 상가228동 지하1층 135호 (동원로얄듀크2차아파트)051 -728 -17882020-03-25
56수자인호텔세탁부산광역시 기장군 정관읍 예림길 62<NA>2020-06-12
57지우개부산광역시 기장군 일광면 해빛4로 1, 301동 B109호 (이지더원1차 오션포레)<NA>2020-07-28
58SH산업부산광역시 기장군 철마면 안평로11번길 36-1<NA>2020-10-14
59아이이불부산광역시 기장군 정관읍 달산4길 102, 1층<NA>2022-03-08
60미스터클리너동부산점부산광역시 기장군 기장읍 대청로36번길 11-21<NA>2021-10-06